A combined supervised and unsupervised approach to classification of multitemporal remote sensing images

被引：0
|
作者：
Bruzzone, L [1 ]
Prieto, DF [1 ]
机构：
[1] Univ Trent, DICA, I-38050 Trent, Italy
来源：
IGARSS 2000: IEEE 2000 INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOL I - VI, PROCEEDINGS | 2000年
关键词：
D O I：
暂无
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
In this paper, a combined supervised and unsupervised approach to classification of multitemporal remote sensing images is presented. Such an approach performs the automatic classification of a remote sensing image for which training data are not available by exploiting the information derived from an image acquired in the same area at a previous time. Experiments, carried out on a multitemporal data set, point out the effectiveness of the proposed method.
引用
收藏
页码：162 / 164
页数：3
相关论文
共 50 条
  • [31] Unsupervised remote sensing image scene classification based on semi-supervised learning
    Bai, Kun
    Mu, Xiaodong
    Chen, Xuebing
    Zhu, Yongqing
    You, Xuanang
    Cehui Xuebao/Acta Geodaetica et Cartographica Sinica, 2022, 51 (05): : 691 - 702
  • [32] Multitemporal remote sensing data for classification of food crops plant phase using supervised random forest
    Triscowati, Dwi Wahyu
    Sartono, Bagus
    Kurnia, Anang
    Domiri, Dede Dirgahayu
    Wijayanto, Arie Wahyu
    SIXTH GEOINFORMATION SCIENCE SYMPOSIUM, 2019, 11311
  • [33] Automatic partially supervised classification of multitemporal remotely sensed images
    Moser, G
    Serpico, SB
    De Martino, M
    Coppolino, D
    IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING X, 2004, 5573 : 126 - 137
  • [34] A Cluster Ensemble Method for Robust Unsupervised Classification of VHR Remote Sensing Images
    Alajlan, Naif
    Ammour, Nassim
    Bazi, Yakoub
    Hichri, Haikel
    2011 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2011, : 2896 - 2899
  • [35] A graph-segment-based unsupervised classification for multispectral remote sensing images
    Liu, Nana
    Li, Jingwen
    Li, Ning
    2008, WSEAS (05):
  • [36] Unsupervised Manifold Alignment for Cross-Domain Classification of Remote Sensing Images
    Ma, Li
    Luo, Chuang
    Peng, Jiangtao
    Du, Qian
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 16 (10) : 1650 - 1654
  • [37] Partially supervised contextual classification of multitemporal remotely sensed images
    De Martino, M
    Macchiavello, G
    Moser, G
    Serpico, SB
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 1377 - 1379
  • [38] Land use/cover classification of cloud-contaminated area by multitemporal remote sensing images
    Shen Shaohong
    Mo Xiaocong
    Zhang Qian
    2014 SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL 1, 2014, : 156 - 159
  • [39] Combined Unsupervised-Supervised Classification Method
    Markowska-Kaczmar, Urszula
    Switek, Tomasz
    KNOWLEDGE-BASED AND INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT II, PROCEEDINGS, 2009, 5712 : 861 - 868
  • [40] Developing a web-based system for supervised classification of remote sensing images
    Ziheng Sun
    Hui Fang
    Liping Di
    Peng Yue
    Xicheng Tan
    Yuqi Bai
    GeoInformatica, 2016, 20 : 629 - 649
12345